Dong-Jo Park

117 papers receiving 970 citations

Peers

Dong-Jo Park
Comparison fields: 5 of 82
  • Signal Processing 113
  • Computer Vision and Pattern Recognition 208
  • Media Technology 88
  • Computer Networks and Communications 220
  • Electrical and Electronic Engineering 508
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Zhengguang Xu China
Zhilu Wu China
Mário Véstias Portugal
Fang Ye China
Shawki Areibi Canada
Kebo Fu China
Tan Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Dong-Jo Park

Since Specialization
Citations

This map shows the geographic impact of Dong-Jo Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dong-Jo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Jo Park more than expected).

Fields of papers citing papers by Dong-Jo Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong-Jo Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dong-Jo Park. The network helps show where Dong-Jo Park may publish in the future.

Co-authors

The 25 scholars most cited alongside Dong-Jo Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dong-Jo Park Line = papers co-authored together Dong-Jo Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2
A Novel Validity Index for Determination of the Optimal Number of Clusters
200199
3 200354
4 200534
5 200029
6 200225
7 200222
8 200921
9 200421
10 200320
11 200420
12 200420
13 200218
14 200818
15 201617
16 200217
17 200617
18 201716
19 201015
20 200515

About Dong-Jo Park

Dong-Jo Park is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 128 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (24 papers), Advanced MIMO Systems Optimization (18 papers), Cooperative Communication and Network Coding (18 papers), Wireless Communication Networks Research (14 papers), Blind Source Separation Techniques (13 papers), Remote-Sensing Image Classification (11 papers), Advanced Adaptive Filtering Techniques (10 papers) and Infrared Target Detection Methodologies (10 papers). The work is most often cited by research in Signal Processing (113 citations), Computer Vision and Pattern Recognition (208 citations), Media Technology (88 citations), Computer Networks and Communications (220 citations) and Electrical and Electronic Engineering (508 citations). Dong-Jo Park has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Byung‐Gyu Kim, Mi‐Kyung Oh, Yeon‐Jea Cho, Dong‐Ho Cho, Sooyoung Hur, Jeong-Ho Park, Jung‐Hyun Park, Georgios B. Giannakis, Xiaoli Ma and Sung‐Yoon Jung. Their work appears in journals such as IEEE Communications Letters, Electronics Letters, Signal Processing, IEEE Transactions on Vehicular Technology and Journal of Communications and Networks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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